PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systems
The authors propose a novel decentralised mixed algebraic and dynamic state observation method for multi‐machine power systems with unknown inputs and equipped with phasor measurement units (PMUs). More specifically, they prove that for the third‐order flux‐decay model of a synchronous generator, th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-12-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-gtd.2020.1275 |
| _version_ | 1811183271879376896 |
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| author | Nicolai Lorenz‐Meyer Alexey Bobtsov Romeo Ortega Nikolay Nikolaev Johannes Schiffer |
| author_facet | Nicolai Lorenz‐Meyer Alexey Bobtsov Romeo Ortega Nikolay Nikolaev Johannes Schiffer |
| author_sort | Nicolai Lorenz‐Meyer |
| collection | DOAJ |
| description | The authors propose a novel decentralised mixed algebraic and dynamic state observation method for multi‐machine power systems with unknown inputs and equipped with phasor measurement units (PMUs). More specifically, they prove that for the third‐order flux‐decay model of a synchronous generator, the local PMU measurements provide enough information to reconstruct algebraically the load angle and quadrature‐axis internal voltage. Due to the algebraic structure, a high numerical efficiency is achieved, which makes the method applicable to large‐scale power systems. Also, they prove that the relative shaft speed can be globally estimated combining a classical immersion and invariance observer with – the recently introduced – dynamic regressor extension and mixing parameter estimator. This adaptive observer ensures global convergence under weak excitation assumptions that are verified in applications. The proposed method neither requires the measurement of exogenous input signals such as the field voltage and the mechanical torque nor the knowledge of mechanical subsystem parameters. |
| first_indexed | 2024-04-11T09:45:17Z |
| format | Article |
| id | doaj.art-4a5349c814aa4cb2a762fa8e1a975bef |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-11T09:45:17Z |
| publishDate | 2020-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-4a5349c814aa4cb2a762fa8e1a975bef2022-12-22T04:31:06ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952020-12-0114256267627510.1049/iet-gtd.2020.1275PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systemsNicolai Lorenz‐Meyer0Alexey Bobtsov1Romeo Ortega2Nikolay Nikolaev3Johannes Schiffer4Brandenburg University of Technology Cottbus‐Senftenberg03046CottbusGermanyITMO University197101Saint PetersburgRussian FederationDepartamento Académico de Sistemas DigitalesITAMCiudad de MéxicoMexicoITMO University197101Saint PetersburgRussian FederationBrandenburg University of Technology Cottbus‐Senftenberg03046CottbusGermanyThe authors propose a novel decentralised mixed algebraic and dynamic state observation method for multi‐machine power systems with unknown inputs and equipped with phasor measurement units (PMUs). More specifically, they prove that for the third‐order flux‐decay model of a synchronous generator, the local PMU measurements provide enough information to reconstruct algebraically the load angle and quadrature‐axis internal voltage. Due to the algebraic structure, a high numerical efficiency is achieved, which makes the method applicable to large‐scale power systems. Also, they prove that the relative shaft speed can be globally estimated combining a classical immersion and invariance observer with – the recently introduced – dynamic regressor extension and mixing parameter estimator. This adaptive observer ensures global convergence under weak excitation assumptions that are verified in applications. The proposed method neither requires the measurement of exogenous input signals such as the field voltage and the mechanical torque nor the knowledge of mechanical subsystem parameters.https://doi.org/10.1049/iet-gtd.2020.1275PMU‐basedmixed algebraicmultimachine power systemsdynamic state observation methodphasor measurement unitsthird‐order flux‐decay model |
| spellingShingle | Nicolai Lorenz‐Meyer Alexey Bobtsov Romeo Ortega Nikolay Nikolaev Johannes Schiffer PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systems IET Generation, Transmission & Distribution PMU‐based mixed algebraic multimachine power systems dynamic state observation method phasor measurement units third‐order flux‐decay model |
| title | PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systems |
| title_full | PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systems |
| title_fullStr | PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systems |
| title_full_unstemmed | PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systems |
| title_short | PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systems |
| title_sort | pmu based decentralised mixed algebraic and dynamic state observation in multi machine power systems |
| topic | PMU‐based mixed algebraic multimachine power systems dynamic state observation method phasor measurement units third‐order flux‐decay model |
| url | https://doi.org/10.1049/iet-gtd.2020.1275 |
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